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1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇

🌵🏜️🌵 Out now in @cognitionjournal.bsky.social with @rbhui.bsky.social! If your advisor sends you an unclear email, do you interpret it as good or bad? 😏😱 In a new paper, we show how people make inferences about this type of ambiguous feedback during learning. www.sciencedirect.com/science/arti...

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics and information integration during percept formation often distinguish clinical from nonclinical populations. Computational psychiatry can elucidate these variations through two primary approaches: (i) Bayesian modeling, which treats perception as an unconscious inference, and (ii) an active, information-seeking perspective (e.g., reinforcement learning), which frames perceptual switches as internal actions. Our synthesis aims to leverage multistability to bridge these computational psychiatry subfields, linking human and animal studies as well as connecting behavior to underlying neural mechanisms. Perceptual multistability emerges as a promising noninvasive tool for clinical applications, facilitating translational research and enhancing our mechanistic understanding of cognitive processes and their impairments.

Coming up next week at the SoCR lab talk series is @alimahmoodi.bsky.social, who will be discussing his recent thought-provoking perspective, which advocates for a computational view of neural mechanisms of social cognition (contra an anatomical one).